Chapter 4. The Statistical Efficiency Conjecture
- Shirley Coleman Technical Director6,
- Tony Greenfield7,
- Dave Stewardson6,
- Douglas C. Montgomery8
Published Online: 3 MAR 2008
DOI: 10.1002/9780470997482.ch4
Copyright © 2008 John Wiley & Sons, Ltd
Book Title

Statistical Practice in Business and Industry
Additional Information
How to Cite
Kenett, R. S., De Frenne, A., Tort-Martorell, X. and McCollin, C. (2008) The Statistical Efficiency Conjecture, in Statistical Practice in Business and Industry (eds S. Coleman, T. Greenfield, D. Stewardson and D. C. Montgomery), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470997482.ch4
Editor Information
- 6
Industrial Statistics Research Unit, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
- 7
Greenfield Research, Little Hucklow, Buxton SK17 8RT, UK
- 8
Regents' Professor of Industrial Engineering & Statistics, ASU Foundation Professor of Engineering, Department of Industrial Engineering Arizona State University Tempe, AZ 85287-5906, USA
Publication History
- Published Online: 3 MAR 2008
- Published Print: 7 MAR 2008
Book Series:
ISBN Information
Print ISBN: 9780470014974
Online ISBN: 9780470997482
- Summary
- Chapter
Keywords:
- competitive pressures and customer expectations;
- quality by design (QbD);
- statistical efficiency conjecture;
- four-step quality ladder;
- key process output variables (KPOVs);
- project-by-project improvement strategy;
- Six Sigma business improvement strategy;
- MINITAB macro;
- DMAIC roadmap;
- Weibull distribution analysis software
Summary
This chapter contains sections titled:
The quality ladder
Improvement projects
Six sigma
Practical statistical efficiency
Case studies
Conclusions
References
Appendix 4A
